加氧灌溉温室甜瓜植株蒸腾人工神经网络分析

应用热技术方法研究了不同天气条件下温室甜瓜植株蒸腾速率的变化特征，利用BP人工神经网络模型对植株蒸腾与环境因子的定量关系进行了模拟。结果表明，晴天条件下温室甜瓜植株蒸腾日变化基本呈对称单峰曲线，阴天和雨天条件下植株蒸腾启动时间较晚且变化和缓；不同天气条件下的BP人工神经网络模型均具有较高的拟合精度，但雨天条件下当植株蒸腾速率较高时模型的偏差较大。...

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Bibliographic Details
Published in广东农业科学 Vol. 40; no. 14; pp. 44 - 47
Main Author 谢恒星 蔡焕杰
Format Journal Article
LanguageChinese
Published 渭南师范学院化学与生命科学学院,陕西渭南714000 2013
西北农林科技大学旱区农业水土工程教育部重点实验室,陕西杨凌712100%西北农林科技大学旱区农业水土工程教育部重点实验室,陕西杨凌,712100
Subjects
BP人工神经网络
植株蒸腾
蒸腾模拟
蒸腾模拟
BP人工神经网络
植株蒸腾
Online AccessGet full text
ISSN1004-874X

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Summary:应用热技术方法研究了不同天气条件下温室甜瓜植株蒸腾速率的变化特征，利用BP人工神经网络模型对植株蒸腾与环境因子的定量关系进行了模拟。结果表明，晴天条件下温室甜瓜植株蒸腾日变化基本呈对称单峰曲线，阴天和雨天条件下植株蒸腾启动时间较晚且变化和缓；不同天气条件下的BP人工神经网络模型均具有较高的拟合精度，但雨天条件下当植株蒸腾速率较高时模型的偏差较大。
Bibliography:plant transpiration; BP artificial neural network model; transpiration simulation
44-1267/S
XIE Heng-xing, CAI Huan-jie （1. College of Chemistry and Life science, Weinan Normal University, Weinan 714000, China; 2. State Key Laboratory for Agricultural Soil and Water Engineering of Ministry of Education, Northwest A ＆F University, Yangling 712100, China）
This paper analysed plant transpiration ratio diurnal variation of greenhouse muskmelon under different weather conditions using heat technology, discussed the relationship between plant transpiration and environmental factors using BP ＇artificial neural network model. Results showed that the diurnal variation of plant transpiration of greenhouse muskmelon presented single peak curve, the plant transpirations start point delayed and had small change in cloudy and rainy day. The BP artifieial neural network model had high precision to simulate palant transpiration on different weather conditions but the model had relatively high error in rainy day when the plant t
ISSN:1004-874X